At NeurIPS 2024, we turn complex research papers into engaging, AI-generated zines.
NeurIPS 2024 celebrates groundbreaking research in AI and machine learning. Dive into the award-winning papers and explore the key innovations shaping the future of technology.
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Curated list of potential ventures in AI and software, offering insights into emerging opportunities and challenges for technical founders.
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Covers a comprehensive overview of OLMo, covering its training data, code, weights, and evaluation tools for NLP research.
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Details SAM 2 advancements in image and video segmentation, dataset creation, training, and applications for interactive, real-time visual segmentation.
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MAMBA 2 framework, connecting state-space models and attention mechanisms for efficient deep learning computation.
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Extensive synthetic dataset generated using Mixtral-8x7B-Instruct-v0.1, replicating Microsoft's Phi-1.5 training data. Used in pre-training LLMs.
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Compact language models (135M, 360M, and 1.7B params), each excels in their size categories across various benchmarks.
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Open-source platform for building AI agents with software engineering, web browsing, and multi-agent collaboration.
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Intricacies of the semiconductor industry and its trajectory towards achieving AGI by the decade's end.
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"Thoth AI brilliantly transformed Best Papers in 2024 announcement into a visually stunning flyer that perfectly balanced academic rigor with engaging design. Their work significantly amplified the visibility of the research in the machine learning community." - Charlotte Xia, Fusion Fund
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Download the digital copy of the physical printouts: HERE
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